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Atypia detected during breast screening and subsequent development of cancer: observational analysis of the Sloane atypia prospective cohort in England

Objective To explore how the number and type of breast cancers developed after screen detected atypia compare with the anticipated 11.3 cancers detected per 1000 women screened within one three year screening round in the United Kingdom.

Design Observational analysis of the Sloane atypia prospective cohort in England.

Setting Atypia diagnoses through the English NHS breast screening programme reported to the Sloane cohort study. This cohort is linked to the English Cancer Registry and the Mortality and Birth Information System for information on subsequent breast cancer and mortality.

Participants 3238 women diagnosed as having epithelial atypia between 1 April 2003 and 30 June 2018.

Main outcome measures Number and type of invasive breast cancers detected at one, three, and six years after atypia diagnosis by atypia type, age, and year of diagnosis.

Results There was a fourfold increase in detection of atypia after the introduction of digital mammogr ....

United Kingdom , City Of , Baylor College Of Medicine , United States , Hugh Bishop , Randy Evans , Janet Litherland , John Dewar , Sarah Darby , Sunil Lakhani , Mark Sibbering , Matthew Wallis , Elena Provenzano , Andrew Hanby , Karoline Freeman , Valerie Speirs , Alastair Thompson , Bridget Hilton , Anthony Maxwell , Ramsey Cutress , Maggie Wilcox , Ian Tomlinson , Seni Mylvaganam , Elinor Sawyer , Hilary Dobson , Martin Lee ,

Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models

The CanPredict (lung) model was developed, and internally and externally validated,
using data from 19ยท67 million people from two English primary care databases. Our
model has potential utility for risk stratification of the UK primary care population
and selection of individuals at high risk of lung cancer for targeted screening. If
our model is recommended to be implemented in primary care, each individual s risk
can be calculated using information in the primary care electronic health records,
and people at high risk can be identified for the lung cancer screening programme. ....

United Kingdom , North Yorkshire , Qresearch Jan , Astra Zeneca , Analysis Service , National Lung Screening Trial , Clinrisk Ltd , Bristol Myers Squibb , Care Information Centre , University Of Nottingham , Biomedical Research Centre Oxford , United Kingdom National Screening Committee , Lung Health Check Programme , National Cancer Registration , Optellums Ltd , Oxford Wellcome Institutional Strategic Support Fund , Liverpool Lung Project , Office For Data , Clinical Practice Research Datalink , National Health Service , Lung Health Check , University Of Oxford , Scholars Of The University Oxford , Public Health England , Cancer Research United Kingdom Oxford Centre , Office For National Statistics ,